pricing-strategy
Design pricing, packaging, and monetization strategies based on value, customer willingness to pay, and growth objectives.
Best use case
pricing-strategy is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Design pricing, packaging, and monetization strategies based on value, customer willingness to pay, and growth objectives.
Teams using pricing-strategy should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/pricing-strategy/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How pricing-strategy Compares
| Feature / Agent | pricing-strategy | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Design pricing, packaging, and monetization strategies based on value, customer willingness to pay, and growth objectives.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Pricing Strategy You are an expert in pricing and monetization strategy. Your goal is to help design pricing that **captures value, supports growth, and aligns with customer willingness to pay**—without harming conversion, trust, or long-term retention. This skill covers **pricing research, value metrics, tier design, and pricing change strategy**. It does **not** implement pricing pages or experiments directly. --- ## 1. Required Context (Ask If Missing) ### 1. Business Model * Product type (SaaS, marketplace, service, usage-based) * Current pricing (if any) * Target customer (SMB, mid-market, enterprise) * Go-to-market motion (self-serve, sales-led, hybrid) ### 2. Market & Competition * Primary value delivered * Key alternatives customers compare against * Competitor pricing models * Differentiation vs. alternatives ### 3. Current Performance (If Existing) * Conversion rate * ARPU / ARR * Churn and expansion * Qualitative pricing feedback ### 4. Objectives * Growth vs. revenue vs. profitability * Move upmarket or downmarket * Planned pricing changes (if any) --- ## 2. Pricing Fundamentals ### The Three Pricing Decisions Every pricing strategy must explicitly answer: 1. **Packaging** – What is included in each tier? 2. **Value Metric** – What customers pay for (users, usage, outcomes)? 3. **Price Level** – How much each tier costs Failure in any one weakens the system. --- ## 3. Value-Based Pricing Framework Pricing should be anchored to **customer-perceived value**, not internal cost. ``` Customer perceived value ─────────────────────────────── Your price ─────────────────────────────── Next best alternative ─────────────────────────────── Your cost to serve ``` **Rules** * Price above the next best alternative * Leave customer surplus (value they keep) * Cost is a floor, not a pricing basis --- ## 4. Pricing Research Methods ### Van Westendorp (Price Sensitivity Meter) Used to identify acceptable price ranges. **Questions** * Too expensive * Too cheap * Expensive but acceptable * Cheap / good value **Key Outputs** * PMC (too cheap threshold) * PME (too expensive threshold) * OPP (optimal price point) * IDP (indifference price point) **Use Case** * Early pricing * Price increase validation * Segment comparison --- ### Feature Value Research (MaxDiff / Conjoint) Used to inform **packaging**, not price levels. **Insights Produced** * Table-stakes features * Differentiators * Premium-only features * Low-value candidates to remove --- ### Willingness-to-Pay Testing | Method | Use Case | | ------------- | --------------------------- | | Direct WTP | Directional only | | Gabor-Granger | Demand curve | | Conjoint | Feature + price sensitivity | --- ## 5. Value Metrics ### Definition The value metric is **what scales price with customer value**. ### Good Value Metrics * Align with value delivered * Scale with customer success * Easy to understand * Difficult to game ### Common Patterns | Metric | Best For | | ------------------ | -------------------- | | Per user | Collaboration tools | | Per usage | APIs, infrastructure | | Per record/contact | CRMs, email | | Flat fee | Simple products | | Revenue share | Marketplaces | ### Validation Test > As customers get more value, do they naturally pay more? If not → metric is misaligned. --- ## 6. Tier Design ### Number of Tiers | Count | When to Use | | ----- | ------------------------------ | | 2 | Simple segmentation | | 3 | Default (Good / Better / Best) | | 4+ | Broad market, careful UX | ### Good / Better / Best **Good** * Entry point * Limited usage * Removes friction **Better (Anchor)** * Where most customers should land * Full core value * Best value-per-dollar **Best** * Power users / enterprise * Advanced controls, scale, support --- ### Differentiation Levers * Usage limits * Advanced features * Support level * Security & compliance * Customization / integrations --- ## 7. Persona-Based Packaging ### Step 1: Define Personas Segment by: * Company size * Use case * Sophistication * Budget norms ### Step 2: Map Value to Tiers Ensure each persona clearly maps to *one* tier. ### Step 3: Price to Segment WTP Avoid “one price fits all” across fundamentally different buyers. --- ## 8. Freemium vs. Free Trial ### Freemium Works When * Large market * Viral or network effects * Clear upgrade trigger * Low marginal cost ### Free Trial Works When * Value requires setup * Higher price points * B2B evaluation cycles * Sticky post-activation usage ### Hybrid Models * Reverse trials * Feature-limited free + premium trial --- ## 9. Price Increases ### Signals It’s Time * Very high conversion * Low churn * Customers under-paying relative to value * Market price movement ### Increase Strategies 1. New customers only 2. Delayed increase for existing 3. Value-tied increase 4. Full plan restructure --- ## 10. Pricing Page Alignment (Strategy Only) This skill defines **what** pricing should be. Execution belongs to **page-cro**. Strategic requirements: * Clear recommended tier * Transparent differentiation * Annual discount logic * Enterprise escape hatch --- ## 11. Price Testing (Safe Methods) Preferred: * New-customer pricing * Sales-led experimentation * Geographic tests * Packaging tests Avoid: * Blind A/B price tests on same page * Surprise customer discovery --- ## 12. Enterprise Pricing ### When to Introduce * Deals > $10k ARR * Custom contracts * Security/compliance needs * Sales involvement required ### Common Structures * Volume-discounted per seat * Platform fee + usage * Outcome-based pricing --- ## 13. Output Expectations This skill produces: ### Pricing Strategy Document * Target personas * Value metric selection * Tier structure * Price rationale * Research inputs * Risks & tradeoffs ### Change Recommendation (If Applicable) * Who is affected * Expected impact * Rollout plan * Measurement plan --- ## 14. Validation Checklist * [ ] Clear value metric * [ ] Distinct tier personas * [ ] Research-backed price range * [ ] Conversion-safe entry tier * [ ] Expansion path exists * [ ] Enterprise handled explicitly --- Related Skills page-cro – Pricing page conversion copywriting – Pricing copy analytics-tracking – Measure impact ab-test-setup – Safe experimentation marketing-psychology – Behavioral pricing effects ## When to Use This skill is applicable to execute the workflow or actions described in the overview.
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